
Learn Database Architecture, Data Modelling, MySQL, PostgreSQL with examples
What you will learn
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Relational Databases
Data Modelling
Database Architecture
SQL
MySQL Server & MySQL Workbench
PostgreSQL
Database Normalization & Denormalization
Database optimization
Indexes in Databases
JDBC
DML
DDL
ORM/JPA
Hibernate
Spring Data JPA
Spring JDBC
Add-On Information:
- Unlock the core principles of data management, understanding how relational databases form the backbone of virtually all modern applications.
- Master the essential techniques for designing optimal database schemas, ensuring data integrity, scalability, and maintainability for your projects.
- Develop deep proficiency in SQL scripting, enabling you to confidently query, manipulate, and define complex data structures across various platforms.
- Gain practical, hands-on experience with two industry-leading relational database systems, MySQL and PostgreSQL, and their powerful management tools.
- Learn to critically evaluate and apply database normalization and denormalization strategies to achieve the perfect balance between data consistency and read performance.
- Acquire advanced skills in database performance optimization, including effective indexing strategies, to ensure your applications run at peak efficiency.
- Seamlessly integrate your Java applications with robust backend data stores using foundational JDBC drivers and advanced ORM solutions.
- Effortlessly manage complex object-relational mapping scenarios using powerful frameworks like Hibernate, abstracting away raw SQL for cleaner code.
- Harness the capabilities of Spring Data JPA and Spring JDBC to build highly efficient and maintainable data access layers within the Spring ecosystem.
- Empower yourself to architect, develop, and troubleshoot data-driven applications, making you a more versatile and in-demand software developer.
- Bridge the theoretical understanding of database architecture with practical development challenges, preparing you for real-world scenarios.
- Build a comprehensive toolkit for handling data persistence, moving beyond basic CRUD operations to sophisticated transactional management.
- Confidently debug and resolve common database-related performance bottlenecks and data integrity issues within your applications.
- Position yourself to lead database design discussions and implement robust, scalable data solutions in any development team.
- Grasp the critical importance of secure and efficient data handling, becoming a guardian of your application’s most valuable asset.
PROS:
- Offers an exhaustive curriculum that spans from foundational database theory to advanced application integration, making it a true ‘complete guide’.
- Provides practical, project-based learning with hands-on application of concepts using industry-standard tools and two distinct database systems.
- Directly addresses the skills gap for developers, enhancing their ability to build high-performance, data-driven applications from end-to-end.
- Empowers learners with the ability to optimize database performance, a highly sought-after skill in modern software development.
- Includes modern Java persistence frameworks (Hibernate, Spring Data JPA) crucial for enterprise-level application development.
CONS:
- A foundational understanding of Java programming is recommended to fully leverage the advanced application integration sections.
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